Super-resolving and composing building dataset using a momentum spatial-channel attention residual feature aggregation network

•A new Single-image Super-resolution network.•The examination of the impact of super-resolution and data composition on building footprint extraction.•This is the first work which employs data composition for improving the generalizability of building footprint extraction model.